Text Classification
Transformers
Safetensors
Bosnian
Croatian
Serbian
xlm-roberta
language-identification
bosnian
croatian
serbian
south-slavic
text-embeddings-inference
Instructions to use absltnull/RoBERTo-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use absltnull/RoBERTo-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="absltnull/RoBERTo-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("absltnull/RoBERTo-v2") model = AutoModelForSequenceClassification.from_pretrained("absltnull/RoBERTo-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 343 Bytes
23a265d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"add_prefix_space": true,
"backend": "tokenizers",
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"is_local": false,
"local_files_only": false,
"mask_token": "<mask>",
"model_max_length": 512,
"pad_token": "<pad>",
"sep_token": "</s>",
"tokenizer_class": "XLMRobertaTokenizer",
"unk_token": "<unk>"
}
|